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Record W4412041487 · doi:10.37933/nipes/7.1.2025.24

Thermal Conductivity Enhancement of Ternary Organic Heat Transfer Fluids Doped with Al₂O₃ Nanoparticles for Solar Thermal Energy Storage

2025· article· en· W4412041487 on OpenAlexfundno aff
Leo Eromina Obogai, Collins Chike Kwasi-Effah, Henry Okechukwu Egware

Bibliographic record

VenueNIPES Journal of Science and Technology Research · 2025
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsnot available
FundersTertiary Education Trust FundFonds National de la Recherche LuxembourgSecretário de Ciência, Tecnologia e Ensino Superior, Governo do Estado de ParanaUniversity of Alberta
KeywordsMaterials scienceTernary operationThermal conductivityHeat transfer fluidThermal energy storageHeat transfer enhancementNanoparticleChemical engineeringHeat transferThermalThermodynamicsComposite materialNanotechnologyHeat transfer coefficientPhysicsComputer science

Abstract

fetched live from OpenAlex

TES), concentrated solar power (CSP), nanoparticle dopingThermal Energy Storage (TES) systems are essential for mitigating the intermittency of renewable energy, particularly in Concentrated Solar Power (CSP) applications.This study explores the enhancement of thermal conductivity in novel ternary organic-based TES fluids, composed of varying ratios of oregano oil, olive oil, and castor oil, doped with 5 wt% AlO nanoparticles.Using differential scanning calorimetry (DSC), seven undoped formulations were characterized, followed by nanoparticle doping in three selected samples.Thermal conductivity was measured over the range of 300-400 K, yielding values from 0.2886 to 0.5233 W/mK for undoped samples, with melting points between 333.48 K and 336.21K. Upon doping, sample SO5 exhibited a 3.7% increase in thermal conductivity, whereas SO2 and SO7 showed decreases of 33.5% and 4.0%, respectively.These results highlight the critical influence of fluid composition, nanoparticle dispersion, and interfacial compatibility on TES performance.This work contributes to the development of cost-effective, high-efficiency TES fluids, offering new pathways for improving the sustainability and performance of CSP systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.303
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNIPES Journal of Science and Technology ResearchSame topicSolar Thermal and Photovoltaic SystemsFrench-language works237,207